计及短路电流限制的输电网双层扩展规划模型

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摘要在传统输电网规划中考虑限流措施的优化配置,建立计及短路电流限制的输电网双层扩展规划模型。上层规划模型以输电线路投资和限流电抗器配置投资总成本最小为目标,下层规划模型在上层规划模型得出的线路方案下以限流电抗器优化配置投资最小为目标,上下层交互影响作用,最终由上层规划模型给出满足短路电流水平要求的总体规划方案,包括输电线路建设方案和限流电抗器配置方案。将遗传算法和粒子群算法相结合求解所建立的输电网双层扩展规划模型,并通过18节点算例及其扩展算例验证了该模型和算法的有效性。

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	宋柄兵
	顾洁

关键词 ：输电网扩展规划, 短路电流裕度, 限流电抗器优化配置, 双层优化, 混合优化算法

Abstract：With the consideration of optimal configuration of short-circuit current limiting measures in typical power system transmission planning, a bi-level planning model is developed for transmission system. The upper level model takes the minimum total cost of the transmission line and the current limiting reactor investments as its objective. Given the transmission line construction scheme derived by the upper model, the lower level model takes the minimum cost of the current limiting reactor investment as its objective. With the interaction between two levels, the overall planning scheme which includes transmission line construction scheme and current limiting reactor configuration scheme is finally determined by the upper model. A algorithm combining the genetic algorithm and the particle swarm algorithm is adopted to solve the proposed bi-level planning model. Results of the case study for an 18-bus system and its expanded system verify the feasibility and efficiency of the proposed model and algorithm.

Key words： Transmission expansion planning short-circuit current margin optimal configuration of current limiting reactor bi-level optimization hybrid optimization algorithm

收稿日期: 2015-02-08 出版日期: 2016-04-20

PACS:

TM715

基金资助:“十二五”国家科技支撑计划重大项目资助(2013BAA01B04)。

作者简介: 宋柄兵男,1990年生,硕士,研究方向为电力系统规划。E-mail:songbingbing1119@163.com(通信作者);顾洁女,1971年生,副教授,研究方向为电力系统规划、电网大数据分析。E-mail:gujie@sjtu.edu.cn

引用本文:

宋柄兵, 顾洁. 计及短路电流限制的输电网双层扩展规划模型[J]. 电工技术学报, 2016, 31(7): 92-101. Song Bingbing, Gu Jie. A Bi-Level Expansion Planning Model of Transmission Systems Considering Short-Circuit Current Constraints. Transactions of China Electrotechnical Society, 2016, 31(7): 92-101.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2016/V31/I7/92

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